Quantum machine learning

Chapter 1: IntroductionChapter Goal: Introduction to book and topics to be covered No of pages 12Sub -Topics1. Rise of The Quantum Computers2. Learning from data: AI, ML and Deep Learning3. Way forward 4. Birds Eye view of Quantum Machine Learning Algorithms5. Organisation of the book6. Software and Languages (Linux and Python libraries)Chapter 2: Quantum Computing & Information...

Chapter 1: IntroductionChapter Goal: Introduction to book and topics to be covered No of pages 12Sub -Topics1. Rise of The Quantum Computers2. Learning from data: AI, ML and Deep Learning3. Way forward 4. Birds Eye view of Quantum Machine Learning Algorithms5. Organisation of the book6. Software and Languages (Linux and Python libraries)Chapter 2: Quantum Computing & Information...

Chapter 1: IntroductionChapter Goal: Introduction to book and topics to be covered No of pages 12Sub -Topics1. Rise of The Quantum Computers2. Learning from data: AI, ML and Deep Learning3. Way forward 4. Birds Eye view of Quantum Machine Learning Algorithms5. Organisation of the book6. Software and Languages (Linux and Python libraries)Chapter 2: Quantum Computing & Information...

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet t...

Chapter 1: IntroductionChapter Goal: Introduction to book and topics to be covered No of pages 12Sub -Topics1. Rise of The Quantum Computers2. Learning from data: AI, ML and Deep Learning3. Way forward 4. Birds Eye view of Quantum Machine Learning Algorithms5. Organisation of the book6. Software and Languages (Linux and Python libraries)Chapter 2: Quantum Computing & Information...

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet t...

Chapter 1: IntroductionChapter Goal: Introduction to book and topics to be covered No of pages 12Sub -Topics1. Rise of The Quantum Computers2. Learning from data: AI, ML and Deep Learning3. Way forward 4. Birds Eye view of Quantum Machine Learning Algorithms5. Organisation of the book6. Software and Languages (Linux and Python libraries)Chapter 2: Quantum Computing & Information...